Dynamic regulation of power consumption of a high-speed communication system

ABSTRACT

A method for dynamically regulating the power consumption of a high-speed integrated circuit which includes a multiplicity of processing blocks. A first metric and a second metric, which are respectively related to a first performance parameter and a second performance parameter of the integrated circuit, are defined. The first metric is set at a pre-defined value. Selected blocks of the multiplicity of processing blocks are disabled in accordance with a set of pre-determined patterns. The second metric is evaluated, while the disabling operation is being performed, to generate a range of values of the second metric. Each of the values corresponds to the pre-defined value of the first metric. A most desirable value of the second metric is determined from the range of values and is matched to a corresponding pre-determined pattern. The integrated circuit is subsequently operated with selected processing blocks disabled in accordance with the matching pre-determined pattern.

PRIORITY CLAIMS

The present application is a division of U.S. patent application Ser.No. 09/390,856, Sep. 3, 1999 now Pat. No. 6,289,047, which is acontinuation-in-part of U.S. patent application Ser. No. 09/143,476entitled “Apparatus for, and Method of, Reducing Power Dissipation in aCommunications System” filed on Aug. 28, 1998, now U.S. Pat. No.6,304,598. The present application also claims priority on the basis ofthe following provisional applications: Ser. No. 60/108,319 entitled“Gigabit Ethernet Transceiver” filed on Nov. 13, 1998, and Ser. No.60/130,616 entitled “Multi-Pair Gigabit Ethernet Transceiver” filed onApr. 22, 1999, and Ser. No. 60/107,880 entitled “APPARATUS FOR, ANDMETHOD OF, REDUCING POWER DISSIPATION IN A COMMUNICATIONS SYSTEM” filedon Nov. 9, 1999.

FIELD OF THE INVENTION

The present invention relates generally to methods and systems forregulating the power consumption of a communication system. Moreparticularly, the invention relates to a method and a system fordynamically balancing power consumption against system performancerequirements in a high-speed communication system operating at gigabitrates.

BACKGROUND OF THE INVENTION

Local Area Networks (LAN) provides network connectivity for personalcomputers, workstations and servers. Ethernet, in its original 10BASE-Tform, remains the dominant network technology for LANs. However, amongthe high speed LAN technologies available today, Fast Ethernet, or100BASE-T, has become the leading choice. Fast Ethernet technologyprovides a smooth, non-disruptive evolution from the 10 megabits persecond (Mbps) performance of the 10BASE-T to the 100 Mbps performance ofthe 100BASE-T. The growing use of 100BASE-T connections to servers anddesktops is creating a definite need for an even higher speed networktechnology at the backbone and server level.

The most appropriate solution to this need, now in development, isGigabit Ethernet. Gigabit Ethernet will provide 1 gigabit per second(Gbps) bandwidth with the simplicity of Ethernet at lower cost thanother technologies of comparable speed, and will offer a smooth upgradepath for current Ethernet installations.

In a Gigabit Ethernet communication system that conforms to the1000BASE-T standard, gigabit transceivers are connected via Category 5twisted pairs of copper cables. Cable responses vary drastically amongdifferent cables. Thus, the computations, and hence power comsumption,required to compensate for noise (such as echo, near-end crosstalk,far-end crosstalk) will vary widely depending on the particular cablethat is used.

In integrated circuit technology, power consumption is generallyrecognized as being a function of the switching (clock) speed oftransistor elements making up the circuitry, as well as the number ofcomponent elements operating within a given time period. The moretransistor elements operating at one time, and the higher theoperational speed of the component circuitry, the higher the relativedegree of power consumption for that circuit. This is particularlyrelevant in the case of Gigabit Ethernet, since all computationalcircuits are clocked at 125 Mhz (corresponding to 250 Mbps per twistedpair of cable), and the processing requirements of such circuits requirerather large blocks of computational circuitry, particularly in thefilter elements. Power consumption figures in the range of from about4.5 Watts to about 6.0 Watts are not unreasonable when the speed andcomplexity of modern gigabit communication circuitry is considered.

Pertinent to an analysis of power consumption is the realization thatpower is dissipated, in integrated circuits, as heat. As powerconsumption increases, not only must the system be provided with a morerobust power supply, but also with enhanced heat dissipation schemes,such as heat sinks (dissipation fins coupled to the IC package), coolingfans, increased interior volume for enhanced air flow, and the like. Allof these dissipation schemes involve considerable additionalmanufacturing costs and an extended design cycle due to the need to planfor thermal considerations.

Prior high speed communication circuits have not adequately addressedthese thermal considerations, because of the primary necessity ofaccommodating high data rates with a suficient level of signal quality.Prior devices have, in effect, “hard wired” their processing capability,such that processing circuitry is always operative to maximize signalquality, whether that degree of processing is required or not. Wherechannel quality is high, full-filter-tap signal processing more oftenobeys the law of diminishing returns, with very small incremental noisemargin gains recovered from the use of additional large blocks of activefilter circuitry.

This trade-off between power consumption and signal quality hasheretofore limited the options available to an integrated circuitcommunication system designer. If low power consumption is made a systemrequirement, the system typically exhibits poor noise margin orbit-error-rate performance. Conversely, if system performance is madethe primary requirement, power consumption must fall where it may withthe corresponding consequences to system cost and reliability.

Accordingly, there is a need for a high speed integrated circuitcommunication system design which is able to accomodate a wide varietyof worst-case channel (cable) responses, while adaptively evaluatingsignal quality metrics in order that processing circuitry might bedisabled, and power consumption might thereby be reduced, at any suchtime that the circuitry is not necessary to assure a given minimum levelof signal quality.

Such a system should be able to adaptively determine and achieve thehighest level of signal quality consistent with a given maximum powerconsumption specification. In addition, such a system should be able toadaptively determine and achieve the lowest level of power consumptionconsistent with a given minimum signal quality specification.

SUMMARY OF THE INVENTION

The present invention is a method for dynamically regulating the powerconsumption of a high-speed integrated circuit which includes amultiplicity of processing blocks. A first metric and a second metric,which are respectively related to a first performance parameter and asecond performance parameter of the integrated circuit, are defined. Thefirst metric is set at a pre-defined value. Selected blocks of themultiplicity of processing blocks are disabled in accordance with a setof pre-determined patterns. The second metric is evaluated, while thedisabling operation is being performed, to generate a range of values ofthe second metric. Each of the values corresponds to the pre-definedvalue of the first metric. A most desirable value of the second metricis determined from the range of values and is matched to a correspondingpre-determined pattern. The integrated circuit is subsequently operatedwith selected processing blocks disabled in accordance with the matchingpre-determined pattern.

In particular, the first and second performance parameters are distinctand are chosen from the parametric group consisting of power consumptionand a signal quality figure of merit. The signal quality figure of meritis evaluated while selected blocks of the multiplicity of processingblocks are disabled. The set of selected blocks which give the lowestpower consumption, when disabled, while at the same time maintaining anacceptable signal quality figure of merit at a pre-defined thresholdlevel is maintained in a disabled condition while the integrated circuitis subsequently operated.

In one aspect of the present invention, reduced power dissipation ischosen as the most desirable metric to evaluate, while a signal qualityfigure of merit is accorded secondary consideration. Alternatively, asignal quality figure of merit is chosen as the most desirable metric toevaluate, while power dissipation is accorded a secondary consideration.In a further aspect of the present invention, both signal quality andpower dissipation are accorded equal consideration with selective blocksof the multiplicity of processing blocks being disabled and theresultant signal quality and power dissipation figures of merit beingevaluated so as to define a co-existing local maxima of signal qualitywith a local minima of power dissipation.

In one particular embodiment, the present invention may be characterizedas a method for dynamically regulating the power consumption of acommunication system which includes at least a first module. The firstmodule can be any circuit block, not necessarily a signal processingblock. Power regulation proceeds by specifying a power dissipation valueand an error value. An information error metric and a power metric iscomputed. Activation and deactivation of at least a portion of the firstmodule of the communication system is controlled according to aparticular criterion. The criterion is based on at least one of theinformation error metric, the power metric, the specified error and thespecified power, to regulate at least one of the information metric andthe power metric.

In particular, at least a portion of the first module is activated ifthe information error metric is greater than the specified error and thefirst module portion is deactivated if the information error metric isless than the specified error. In an additional aspect of the invention,the first module portion is activated if the information error metric isgreater than the specified error and the power metric is smaller thanthe specified power. The first module portion is deactivated if theinformation error metric is smaller than the specified error or thepower metric is greater than the specified power. In yet a furtheraspect of the invention, the first module portion is activated if theinformation error metric is greater than the specified error and isdeactivated if the information error metric is smaller than a targetvalue, the target value being smaller than the specified error. In yetanother aspect of the invention, the first module portion is activatedif the information error metric is greater than the specified error andthe power metric is smaller than the specified power. The first moduleportion is deactivated if the information error metric is smaller than atarget value, the target value being smaller than the specified error,or the power metric is greater than the specified power.

Advantageously, the information error metric is related to a bit errorrate of the communication system and the information error metric is ameasure of performance degradation in the communication system caused bydeactivation of the portion of the first module. Where the module is afilter which includes a set of taps, with each of the taps including afilter coefficient, the information error metric is a measure ofperformance degradation of a transceiver caused by operation of thefilter.

Power dissipation reduction is implemented by deactivating subsets oftaps which make up the filter, until such time as performancedegradation caused by the truncated filter reaches a pre-determinedthreshold level.

DESCRIPTION OF THE DRAWINGS

These and other features, aspects and advantages of the presentinvention will be more fully understood when considered with respect tothe following detailed description, appended claims and accompanyingdrawings, wherein:

FIG. 1 is a simplified matrix diagram illustrating the relationshipbetween power consumption and a performance metric;

FIG. 2 is a simplified, semi-schematic block diagram of a high-speedbidirectional communication system exemplified by two transceiversconfigured to communicate over multiple twisted-pair wiring channels;

FIG. 3 is a simplified, semi-schematic block diagram of a bidirectionalcommunication transceiver, constructed in accordance with the presentinvention;

FIG. 4 is a simplified block diagram of a trellis decoder such as mightbe incorporated into the exemplary transceiver of FIG. 3;

FIG. 5A is a simplified structure diagram of an adaptive FIR filter asmight be implemented as an echo/NEXT canceller circuit in one embodimentof a transceiver in accordance with the present invention;

FIG. 5B is an equivalent structure of the adaptive FIR filter shown inFIG. 5A;

FIG. 5C is a simplified structure diagram of an alternative adaptive FIRfilter including a modification to the structure of FIG. 5B to bypass adeactivated tap;

FIG. 5D is a simplified block diagram of a deactivate-able coefficientmultiplier circuit such as might be implemented in the filters of FIGS.5A, 5B and 5C;

FIG. 6 is a flowchart depicting a first exemplary embodiment of anadaptive power reduction method according to the present invention;

FIG. 7 is a flowchart depicting one exemplary embodiment of anactivation block according to the method of FIG. 6;

FIG. 8 is a flowchart depicting one exemplary embodiment of adeactivation block according to the method of FIG. 6;

FIG. 9 is a flowchart of one embodiment of the computing block 514 ofFIG. 6;

FIG. 10 is a flowchart depicting one exemplary embodiment of apower-down block according to the method of FIG. 6;

FIG. 11 is a graph of an exemplary impulse response of the echocharacteristics of a typical channel;

FIG. 12 is a graph of an exemplary impulse response of the near-endcrosstalk (NEXT) characteristics of a typical channel;

FIGS. 13A and 13B are graphs of the mean squared error to signal ratio(MSE/signal) expressed in dB as a function of time, with time expressedin bauds, of exemplary Master and Slave transceivers, respectively;

FIGS. 14A and 14B are graphs of the values of the tap coefficients of anexemplary echo canceller as a function of the tap number, afterapplication of the tap power regulating process with the specified errorset at −24 dB and −26 dB, respectively;

FIG. 15 is a block diagram of an exemplary trellis decoder as applied toa case in which there is substantially no intersymbol interference; and

FIG. 16 is a simplified block diagram of an alternative embodiment ofthe invention in which power consumption is reduced by substitution of asymbol-by-symbol decoder in place of a Viterbi decoder.

DETAILED DESCRIPTION OF THE INVENTION

In the context of an exemplary integrated circuit-type bidirectionalcommunication system, the present invention might be characterized as asystem and method for adaptively and dynamically regulating the powerconsumption of an integrated circuit communication system as a functionof particular, user defined signal quality metrics. Signal qualitymetrics might include a signal's bit error rate (BER), a signal-to-noiseratio (SNR) specification, noise margin figure, dynamic range, or thelike. Indeed, signal quality is a generalized term used to describe asignal's functional fidelity.

As will be understood by one having skill in the art, signal quality isa measurable operational characteristic of various component portions ofmodern communication systems. Various forms of signal quality metricsare used to define the features and functionality of signal processingportions of integrated circuit communication devices, particularlycoder/decoder circuitry, equalizers and filters, each of which requirelarge amounts of silicon real estate for effective implementation, and aconsequently large degree of power consumption during operation.

Turning now to FIG. 1, the invention might be described briefly as amethodology for balancing the conflicting circuit performancerequirements represented by signal quality and power consumption andmight be illustrated as the implementation of a decision matrix havingpower consumption as one of the dimensions and a chosen signal qualitymetric as another. From FIG. 1, it will be understood that integratedcircuit power consumption is directly related to processed signalquality. This is particularly true in the case of integrated circuitsincorporating high order digital filter elements, having a large numberof taps, all of which consume power when in operation.

However, it has been generally accepted integrated circuit designpractice to construct an integrated circuit communication device toaccommodate the most stringent digital processing that might be requiredby a device in an actual application. In the case of an Ethernettransceiver, for example, provision must be made for processing signalstransmitted over a wide variety of transmission channels exhibitingwidely disparate transmission channel characteristics, ranging fromextremely lossy, highly populated, long wiring run channels, to veryshort (<2 meters) point-to-point installations. In either case, all ofthe signal processing elements of conventional transceiver circuitry areoperative to process a signal, whether needed or not, such that powerconsumption is relatively constant and large.

In FIG. 1, the evaluation matrix judges an output signal quality metricagainst a threshold standard, and where a measured quality metric isgreater than the threshold, allows the power consumption of the deviceto be reduced by turning off various functional processing blocks untilthe output signal quality is reduced to the threshold value. Thisaproach has particular utility in the case of digital filter elements,coder/decoder circuitry and equalizers, all of which include multipleelements that are required for processing signals propagated throughharsh channel environments, but to various degrees unnecessary whensignals are propagated through a more benign channel.

The evaluation matrix, as exemplified in FIG. 1, might be initialized bya user input requirement, such as the degree to which power consumptionis an issue. A particular power consumption value might be set as anoperational parameter (indicated as “P” in FIG. 1), and portions of thedevice adaptively turned off until the desired power value is reached.This will necessarily affect the signal quality of a signal processed bysuch truncated circuitry, but, in accordance with the invention, signalquality is able to be locally maximized to a pre-determined powerconsumption metric, such that device performance is not undulysacrificed.

Various portions of the device might be powered-down in predeterminedsequential combinations with each combination resulting in a particularperformance metric. Signal performance is evaluated at each sequentialstep. Thus, any one power consumption specification ,i.e. “P”, will givea range of performance values (represented as “A” in FIG. 1). The bestsignal performance result is necessarily the chosen metric for decidingwhich of the multiplicity of power-down configurations is implemented.Consequently, where power is the primary concern, signal qualitydefaults to the best signal performance achievable at the specifiedpower level.

Where signal quality (performance) is the primary concern, the system isallowed to function normally, with all processing blocks operative. Inthis circumstance, power consumption will be expected to be nominal.

Where signal quality is desirable, but some accommodation must be madeto power consumption, a user may set a signal quality metric as athreshold standard (indicated as “Q” in FIG. 1), and allow the system toadaptively and dynamically run through a multiplicity of power-downconfigurations, resulting in a range of power consumption values(indicated as “B” in FIG. 1) in order to determine which of theconfigurations gives the lowest power consumption while retaining thedesired signal quality metric. This methodology is particularlyeffective in high order filters with multiple taps, and in decoderblocks that might implement a trellis decoder in a fully functionalform, but which might be adequate when truncated to a simple slicer incertain situations.

No matter how implemented, however, all that is required for practice ofthe invention is that power consumption be established as one basis ofan evaluation matrix, and that some signal quality or device performancecharacteristic, having a relationship to device power consumption, beestablished as another. As one of the bases are defined, as by a userinput, for example, the other basis is locally maximized (in the case ofperformance) or minimized (in the case of power) by an adaptive anddynamic procedure that chooses the most pertinent portions of anintegrated circuit to disable. The procedure is adaptive in the sensethat it is not fixed in time. As channel and signal characteristics canbe expected to vary with time, a changing signal quality metric willforce a re-evaluation of the matrix. A further reduction of powerconsumption, or a further enhancement of signal quality may be obtained.

In order to appreciate the advantages of the present invention, it willbe beneficial to describe the invention in the context of an exemplarybidirectional communication device, such as an Ethernet transceiver. Theparticular exemplary implementation chosen is depicted in FIG. 2, whichis a simplified block diagram of a multi-pair communication systemoperating in conformance with the IEEE 802.3ab standard (also termed1000BASE-T) for 1 gigabit (Gb/s) Ethernet full-duplex communication overfour twisted pairs of Category-5 copper wires.

The communication system illustrated in FIG. 2 is represented as apoint-to-point system, in order to simplify the explanation, andincludes two main transceiver blocks 101 and 102, coupled together viafour twisted-pair cables 104 a, b, c and d. Each of the wire pairs 104a, b, c, d is coupled to each of the transceiver blocks 101, 102 througha respective one of four line interface circuits 106. Each of the wirepairs 104 a, b, c, d facilitates communication of information betweencorresponding pairs of four pairs of transmitter/receiver circuits(constituent transceivers) 108. Each of the constituent transceivers 108is coupled between a respective line interface circuit 106 and aPhysical Coding Sublayer (PCS) block 110. At each of the transceiverblocks 101 and 102, the four constituent transceivers 108 are capable ofoperating simultaneously at 250 megabits of information data per second(Mb/s) each, and are coupled to the corresponding remote constituenttransceivers through respective line interface circuits to facilitatefull-duplex bidirectional operation. Thus, 1 Gb/s communicationthroughput of each of the transceiver blocks 101 and 102 is achieved byusing four 250 Mb/s (125 Mbaud at 2 information data bits per symbol)constituent transceivers 108 for each of the transceiver blocks 101, 102and four pairs of twisted copper cables to connect the two transceiverblocks 101, 102 together.

The exemplary communication system of FIG. 2 has a superficialresemblance to a 100BASE-T4 system, but is configured to operate at tentimes the bit rate. As such, it should be understood that certain systemperformance characteristics, such as sampling rates and the like, willbe consequently higher and cause a greater degree of power consumption.Also, at gigabit data rates over potentially noisy channels, aproportionately greater degree of signal processing is required in manyinstances to insure an adequate degree of signal fidelity and quality.

FIG. 3 is a simplified block diagram of the functional architecture andinternal construction of an exemplary transceiver block, indicatedgenerally at 200, such as transceiver 101 of FIG. 2. Since theillustrative transceiver application relates to gigabit Ethernettransmission, the transceiver will be refered to as the “gigabittransceiver”. For ease of illustration and description, FIG. 3 showsonly one of the four 250 Mb/s constituent transceivers which areoperating simultaneously (termed herein 4-D operation). However, sincethe operation of the four constituent transceivers are necessarilyinterrelated, certain blocks and signal lines in the exemplaryembodiment of FIG. 3 perform four-dimensional operations and carryfour-dimensional (4-D) signals, respectively. By 4-D, it is meant thatthe data from the four constituent transceivers are used simultaneously.In order to clarify signal relationships in FIG. 3, thin linescorrespond to 1-dimensional functions or signals (i.e., relating to onlya single constituent transceiver), and thick lines correspond to 4-Dfunctions or signals (relating to all four constituent transceivers).

Referring to FIG. 3, the gigabit transceiver 200 includes a GigabitMedium Independent Interface (GMII) block 202 subdivided into a receiveGMII circuit 202R and a transmit GMII circuit 202T. The transceiver alsoincludes a Physical Coding Sublayer (PCS) block 204, subdivided into areceive PCS circuit 204R and a transmit PCS circuit 204T, a pulseshaping filter 206, a digital-to analog (D/A) converter block 208, and aline interface block 210, all generally encompassing the transmitterportion of the transceiver.

The receiver portion generally includes a highpass filter 212, aprogrammable gain amplifier (PGA) 214, an analog-to-digital (A/D)converter 216, an automatic gain control (AGC) block 220, ApplicationNo. 09/686,513 PATENT a timing recovery block 222, a pair-swapmultiplexer block 224, a demodulator 226, an offset canceller 228, anear-end crosstalk (NEXT) canceller block having three constituent NEXTcancellers 229, 230 and 231 and an echo canceller 232.

The gigabit transceiver 200 also includes an A/D first-in-first-outbuffer (FIFO) 218 to facilitate proper transfer of data from the analogclock region to the receive clock region, and a loopback FIFO block(LPBK) 234 to facilitate proper transfer of data from the transmit clockregion to the receive clock region. The gigabit transceiver 200 canoptionally include an additional adaptive filter to cancel far-endcrosstalk noise (FEXT canceller).

In operational terms, on the transmit path, the transmit section 202T ofthe GMII block receives data from the Media Access Control (MAC) modulein byte-wide format at the rate of 125 MHz and passes them to thetransmit section 204T of the PCS block via the FIFO 201. The FIFO 201ensures proper data transfer from the MAC layer to the Physical Coding(PHY) layer, since the transmit clock of the PHY layer is notnecessarily synchronized with the clock of the MAC layer. In oneembodiment, this small FIFO 201 has from about three to about fivememory cells to accommodate the file elasticity requirement which is afunction of frame size and frequency offset.

The PCS transmit section 204T performs certain scambling operations and,in particular, is responsible for encoding digital data into therequisite codeword representations appropriate for transmission. In, theillustrated embodiment of FIG. 3, the transmit PCS section 204Tincorporates a coding engine and signal mapper that implements a trelliscoding architecture, such as required by the IEEE 802.3ab specificationfor gigabit transmission.

In accordance with this encoding architecture, the PCS transmit section204T generates four 1-D symbols, one for each of the four constituenttransceivers. The 1-D symbol generated for the constituent transceiverdepicted in FIG. 3 is filtered by the pulse shaping filter 206. Thisfiltering assists in reducing the radiated emission of the output of thetransceiver such that it falls within the parameters required by theFederal Communications Commission. The pulse shaping filter 206 isimplemented so as to define a transfer function of 0.75+0.25z⁻¹. Thisparticular implementation is chosen so that the power spectrum of theoutput of the transceiver falls below the power spectrum of a 100Base-Txsignal. The 100Base-Tx is a widely used and accepted Fast Ethernetstandard for 100 Mb/s operation on two pairs of Category-5 twisted paircables. The output of the pulse shaping filter 206 is converted to ananalog signal by the D/A converter 208 operating at 125 MHz. The analogsignal passes through the line interface block 210, and is placed on thecorresponding twisted pair cable.

On the receive path, the line interface block 210 receives an analogsignal from the twisted pair cable. The received analog signal ispreconditioned by the highpass filter 212 and the PGA 214 before beingconverted to a digital signal by the A/D converter 216 operating at asampling rate of 125 MHz. The timing of the A/D converter 216 iscontrolled by the output of the timing recovery block 222. The resultingdigital signal is properly transferred from the analog clock region tothe receive clock region by the A/D FIFO 218. The output of the A/D FIFO218 is also used by the AGC 220 to control the operation of the PGA 214.

The output of the A/D FIFO 218, along with the outputs from the A/DFIFOs of the other three constituent transceivers are inputted to thepair-swap multiplexer block 224. The pair-swap multiplexer block 224uses the 4-D pair-swap control signal from the receive section 204R ofPCS block to sort out the four input signals and send the correctsignals to the respective feedforward equalizers 26 of the demodulator226. This pair-swapping control is needed for the following reason. Thetrellis coding methodology used for the gigabit transceivers (101 and102 of FIG. 1) is based on the fact that a signal on each twisted pairof wire corresponds to a respective 1-D constellation, and that thesignals transmitted over four twisted pairs collectively form a 4-Dconstellation. Thus, for the decoding to work, each of the four twistedpairs must be uniquely identified with one of the four dimensions. Anyundetected swapping of the four pairs would result in erroneousdecoding. In an alternate embodiment of the gigabit transceiver, thepair-swapping control is performed by the demodulator 226, instead ofthe combination of the PCS receive section 204R and the pair-swapmultiplexer block 224.

The demodulator 226 includes a feed-forward equalizer (FFE) 26 for eachconstituent transceiver, coupled to a deskew memory circuit 36 and adecoder circuit 38, implemented in the illustrated embodiment as atrellis decoder. The deskew memory circuit 36 and the trellis decoder 38are common to all four constituent transceivers. The FFE 26 receives thereceived signal intended for it from the pair-swap multiplexer block224. The FFE 26 is suitably implemented to include a precursor filter28, a programmable inverse partial response (IPR) filter 30, a summingdevice 32, and an adaptive gain stage 34. The FFE 26 is aleast-mean-squares (LMS) type adaptive filter which is configured toperform channel equalization as will be described in greater detailbelow.

The precursor filter 28 generates a precursor to the input signal 2.This precursor is used for timing recovery. The transfer function of theprecursor filter 28 might be represented as −γ+z⁻¹, with γ equal to{fraction (1/16)} for short cables (less than 80 meters) and ⅛ for longcables (more than 80 m). The determination of the length of a cable isbased on the gain of the coarse PGA 14 of the programmable gain block214.

The programmable IPR filter 30 compensates the ISI (intersymbolinterference) introduced by the partial response pulse shaping in thetransmitter section of a remote transceiver which transmitted the analogequivalent of the digital signal 2. The transfer function of the IPRfilter 30 may be expressed as 1/(1+Kz⁻¹). In the present example, K hasan exemplary value of 0.484375 during startup, and is slowly ramped downto zero after convergence of the decision feedback equalizer includedinside the trellis decoder 38. The value of K may also be any positivevalue strictly less than 1.

The summing device 32 receives the output of the IPR filter 30 andsubtracts therefrom adaptively derived cancellation signals receivedfrom the adaptive filter block, namely signals developedbythe offsetcanceller228, the NEXT cancellers 229,230 and 231, and the echocanceller 232. The offset canceller 228 is an adaptive filter whichgenerates an estimate of signal offset introduced by component circuitryof the transceiver's analog front end, particularly offsets introducedby the PGA 214 and the A/D converter 216.

The three NEXT cancellers 229, 230 and 231 may also be described asadaptive filters and are used, in the illustrated embodiment, formodeling the NEXT impairments in the received signal caused byinterference generated by symbols sent by the three local transmittersof the other three constituent transceivers. These impairments arerecognized as being caused by a crosstalk mechanism between neighboringpairs of cables, thus the term near-end crosstalk, or NEXT. Since eachreceiver has access to the data transmitted by the other three localtransmitters, it is possible to approximately replicate the NEXTimpairments through filtering. Referring to FIG. 3, the three NEXTcancellers 229, 230 and 231 filter the signals sent by the PCS block tothe other three local transmitters and produce three signals replicatingthe respective NEXT impairments. By subtracting these three signals fromthe output of the IPR filter 30, the NEXT impairments are approximatelycancelled.

Due to the bi-directional nature of the channel, each local transmittercauses an echo impairment on the received signal of the local receiverwith which it is paired to form a constituent transceiver. In order toremove this impairment, an echo canceller 232 is provided, which mayalso be characterized as an adaptive filter, and is used, in theillustrated embodiment, for modeling the signal impairment due to echo.The echo canceller 232 filters the signal sent by the PCS block to thelocal transmitter associated with the receiver, and produces anapproximate replica of the echo impairment. By subtracting this replicasignal from the output of the IPR filter 30, the echo impairment isapproximately cancelled.

The adaptive gain stage 34 receives the processed signal from thesumming circuit 32 and fine tunes the signal path gain using azero-forcing LMS algorithm. Since this adaptive gain stage 34 trains onthe basis of error signals generated by the adaptive filters 228, 229,230, 231 and 232, it provides a more accurate signal gain than the oneprovided by the PGA 214 in the analog section.

The output of the adaptive gain stage 34, which is also the output ofthe FFE 26, is inputted to the deskew memory circuit 36. The deskewmemory 36 is a four-dimensional function block, i.e., it also receivesthe outputs of the three FFEs of the other three constituenttransceivers. There may be a relative skew in the outputs of the fourFFEs, which are the four signal samples representing the four symbols tobe decoded. This relative skew can be up to 50 nanoseconds, and is dueto the variations in the way the copper wire pairs are twisted. In orderto correctly decode the four symbols, the four signal samples must beproperly aligned. The deskew memory aligns the four signal samplesreceived from the four FFEs, then passes the deskewed four signalsamples to a decoder circuit 38 for decoding.

In the context of the exemplary embodiment, the data received at thelocal transceiver was encoded before transmission, at the remotetransceiver. In the present case, data might be encoded using an 8-statefour-dimensional trellis code, and the decoder 38 might therefore beimplemented as a trellis decoder. In the absence of intersymbolinterference (ISI), a proper 8-state Viterbi decoder would provideoptimal decoding of this code. However, in the case of Gigabit Ethernet,the Category-5 twisted pair cable introduces a significant amount ofISI. In addition, the partial response filter of the remote transmitteron the other end of the communication channel also contributes some ISI.Therefore, the trellis decoder 38 must decode both the trellis code andthe ISI, at the high rate of 125 MHz. In the illustrated embodiment ofthe gigabit transceiver, the trellis decoder 38 includes an 8-stateViterbi decoder, and uses a decision-feedback sequence estimationapproach to deal with the ISI components.

The 4-D output of the trellis decoder 38 is provided to the PCS receivesection 204R. The receive section 204R of the PCS block de-scrambles anddecodes the symbol stream, then passes the decoded packets and idlestream to the receive section 202T of the GMII block which passes themto the MAC module. The 4-D outputs, which are the error and tentativedecision, respectively, are provided to the timing recovery block 222,whose output controls the sampling time of the A/D converter 216. One ofthe four components of the error and one of the four components of thetentative decision correspond to the receiver shown in FIG. 3, and areprovided to the adaptive gain stage 34 of the FFE 26 to adjust the gainof the equalizer signal path. The error component portion of the decoderoutput signal is also provided, as a control signal, to adaptationcircuitry incorporated in each of the adaptive filters 228, 229, 230,231 and 232. Adaptation circuitry is used for the updating and trainingprocess of filter coefficients.

FIG. 4 is a block diagram of the trellis decoder 38 of FIG. 3. Thetrellis decoder 38 includes a multiple decision feedback equalizer(MDFE) 302, a Viterbi decoder 304, a path metrics module 306, a pathmemory module 308, a select logic 310, and a decision feedback equalizer312. There are eight Viterbi inputs and eight Viterbi decisionscorresponding to the eight states. Each of the eight Viterbi inputs(respectively, decisions) is a 4-dimensional vector whose fourcomponents are the Viterbi inputs (respectively, decisions) for the fourconstituent transceivers, respectively.

The adaptive filters used to implement the echo canceller 232 and theNEXT cancellers 229, 230 and 231 are typically finite impulse response(FIR) filters. FIG. 5A shows a structure of an adaptive FIR filter usedas an echo/NEXT canceller in one embodiment of the gigabit transceiver.

Referring to FIG. 5A, the adaptive FIR filter includes an input signalpath P_(in), an output signal path P_(out), and N taps (N is nine inFIG. 5A). Each tap connects a point on the input signal path P_(in), toa point on the output signal path P_(out). Each tap, except for the lasttap, includes a coefficient C_(i), a multiplier M_(i) and an adderA_(i), i=0, . . . , N−2. The last tap includes the coefficient C_(N−1),the multiplier M_(N−1), and no adder. The coefficients C_(i), where i=0,. . ., N−1, are stored in coefficient registers. During each adaptationprocess, the values of the coefficients C_(i) are trained using awell-known least-mean-squares algorithm by an adaptation circuitry (notshown in FIG. 5A). After training, the coefficients C_(i) converge tostable values. The FIR filter includes a set of delay elements D_(i),conventionally denoted by z⁻¹ in FIG. 5A. The number of delay elementsD_(i) determines the order of the FIR filter. The output y(n), i.e., thefilter output at time instant n, is a function of the input at timeinstant n and of the past inputs at time instants n−1 through n−(N−1),and is expressed as: $\begin{matrix}{{y\quad (n)} = {\sum\limits_{i = 0}^{N - 1}\quad {C_{i}\quad x\quad \left( {n - i} \right)}}} & (1)\end{matrix}$

where x(n−i) denotes the input at time instant n−i, and N denotes thenumber of taps. The output y(n), as shown in Equation (1), is a weightedsum of the input data x(n−i), with i=0, . . . , N−1. The coefficientsC_(i) act as the weighting factors on the input data. If a coefficientC_(i) has a very small absolute value, relative to the values of othercoefficients, then the contribution of the corresponding input datax(n−i) to the value of y(n) is relatively insignificant.

FIG. 5B is an equivalent structure of the filter shown in FIG. 5A. Thetwo structures in FIGS. 5A and 5B provide the same filter transferfunction, but differ in certain performance characteristics. Thedifference is due to the placement of the delay elements D_(i), i=1, . .. , N−1 (N=9 in FIGS. 5A, 5B). If all the delay elements are placed inthe input path P_(in), as in the well-known direct form of the FIRfilter, then the registers that are used to implement the delay elementsare small, need only to be of the same size as the input data x(n). Ifall the delay elements are placed on the output path P_(out), as in thewell-known transposed form of the FIR filter, then the registers used asthe delay elements must have more bits in order to hold the largestpossible sum of products C_(i)*x(n−i). Large registers cost more andconsume more power than small registers. Thus, the advantage of placingthe delay elements on the input path instead of the output path is thatfewer register bits are required. However, the larger the number of thedelay elements on the input path, the lower the operating speed of thefilter is.

If the propagation delay from the input of the filter to the last tapexceeds the required clock period, then the filter is not usable. Tobreak the long propagation delay, that would occur if all the delayelements were placed on the input path P_(in), into small delayintervals, some of the delay elements are placed on the output pathP_(out), at regular intervals, as shown in the filter structures inFIGS. 5A and 5B. The structure in FIG. 5B, which has a “two-to-one”split of delay elements between the input path and the output path, canoperate at a higher clock speed than the structure in FIG. 5A, which hasa “three-to-one” split. Computational results show that both of thesestructures are acceptable for use in a high-speed system such as thegigabit transceiver.

The taps of the adaptive FIR filters used in the gigabit transceiver canbe switched from an active state to an inactive state. FIG. 5C shows amodification to the structure of FIG. SB to bypass a deactivated tap.

Referring to FIG. 5C, the filter structure includes a bypass circuit foreach adder A_(i), i=0, . . . , N−1. Each bypass circuit includes a gateG_(i) indicated as an AND gate, and a multiplexer U_(i). Also associatedwith each bypass circuit is a control signal S_(i) which indicates theactive or inactive state of the tap having the coefficient C_(i) and theadder A_(i). S_(i) is set equal to one if the tap is intended to beactive, and set equal to zero if the tap is intended to be inactive.When S_(i)=1, the output of any arbitrarily chosen gate G_(i) is equalto the data signal at the input of that gate G_(i). At the correspondingmultiplexer U_(i), in the case where S_(i)=1, only the output signalfrom the adder A_(i) is outputted by the multiplexer. In the case whereS_(i)=0, the output of gate G_(i) is zero, and the data signal at theinput of gate G_(i) flows to the multiplexer U_(i) via the correspondingbypass connection B_(i), bypassing the adder A_(i). At the multiplexerU_(i), due to S_(i)=0, only the data signal from the bypass connectionB_(i) is outputted.

The foregoing is only one exemplary implementation of a filterconfiguration wherein taps can be switched between active and inactivestates. An alternative implementation is one where the multipliers M_(i)coupled to receive filter coefficients from associated coefficientregisters are able to be switched between active and inactive states.

FIG. 5D is a semi-schematic block diagram of a multiplier 400, such asmight be associated with each tap coefficient. The multiplier 400 isconfigured to receive a coefficient word, from a correspondingcoefficient register. The coefficient word is received in a multiplexercircuit 402, which receives the coefficient in two configurations: afirst “raw” configuration taken directly from the coefficient register,and a second “times 2” configuration taken from the register but shiftedone position to the left. The second coefficient configuration, then,represents the “raw” value multiplied by two. Since the secondcoefficient configuration is a shifted one and, necessarily contains onefewer bit than the “raw” coefficient, the “times two” coefficient set ispadded by the bit value 0 (this is done by tying the least significantbit to V_(ss). which is ground). This is a particularly efficientimplementation of a multiplier which takes advantage of the fact thatthe symbols can only have the values (−2, −1, 0, +1, +2). The symbolsare represented by three bits in sign-magnitude representation, with bit2 indicating the sign (+ or −).

A select OR gate 404 “ORs” an OFF signal with the value of symbol bit 0to select which coefficient representation is selected to pass throughthe multiplexer 402. When the value of symbol bit 0 is 1, the “raw”coefficient, representing either −1, 0, +1 is selected. When OFF isequal to logical 1, the same condition applies. The coefficient selectedby multiplexer 402 is directed to one input of an XOR gate where it isexclusively “ORed” with an output signal from a select AND gate 408. TheAND gate 408 “ANDs” an inverted OFF signal with the symbol bit 2 value.When OFF is logical 0, i.e., inverted OFF is logical 1, and when symbolbit 2 is 1, the XOR functions to designate that the sign of thecoefficient is negative. It should be understood that the XOR isconfigured as a stack (of 10 individual XOR gates), and thatmanipulation of the carry bit determines the sign of the coefficients.

The signed coefficient is directed to an additional AND gate 410, whereit is “ANDed” with the output of a second select AND gate 412. Theoutput of second select AND gate 412 is developed by “ANDing” theinverted OFF signal with the “ORed” result between symbol bits 0, 1 and2. The effective function of OR gate 414 is to differentiate between thesymbol zero value and the other symbol values. In effect, OR gate 414 isa symbol {0} detect circuit.

Tap disablement is a function of the OFF signal value. When OFF islogical 1, the multiplexer is set to select “one”, i.e., the “raw”coefficient. When OFF equal to logical 1, inverted OFF is logical 0,causing the first and second select AND gates 408 and 412 to output azero regardless of the value of the symbol bit input. Since the outputof AND gate 412 is zero, the AND gate stack 410 also outputs a zero,which is directed to a corresponding tap adder A_(i) in the output pathof the adaptive filter (FIGS. 5A, SB or 5C). Adding a zero requires nocomputation and the tap is thus effectively deactivated.

The underlying reason for ORing the OFF signal in the OR gate 404 andfor ANDing the inverse OFF signal in the AND gate 408 is to ensure thatno transitions take place inside the multiplier when the tap isdeactivated. Without the OFF signal as input to the OR gate 404, theselect input to the multiplexer 402 will toggle depending on the valueof the symbol bit 0. Without the inverse OFF signal as input to the ANDgate 408, one of the two inputs to the XOR 406 will toggle depending onthe value of the symbol bit 2. This toggling, or transition, woulddissipate power. The reason for ANDing the inverse OFF signal in the ANDgate 412 is to ensure that the multiplier output (which is the output ofAND gate 410) is zero when the tap is deactivated.

Referring back to FIG. 3, the adaptive FIR filters used as the echocanceller 232 and the three NEXT cancellers 229, 230 and 231, requirelarge numbers of taps to be effective as cancellers for a wide range oftwisted pairs of cables. Echo/NEXT responses differ for differentcables, and require different taps in the cancellers to model them.Therefore, cancellers are built with enough taps to provide adequatecancellation with the worst-case expected cable responses. For example,in the illustrated embodiment of the gigabit transceiver of FIG. 3, eachecho canceller has one hundred ninety two (192) taps, and each NEXTcanceller has thirty six (36) taps (it is noted that there is also atotal of 132 taps in the DFE which are always active). Since there arefour echo cancellers (one per constituent transceiver) and twelve NEXTcancellers (three per constituent transceiver) in the gigabittransceiver, the total number of taps that can be activated ordeactivated in the gigabit transceiver is twelve hundred (1200). Whenactive, each of these taps consumes a small amount of power. Due totheir large number, if all of the taps are active at the same time,their individual power consumption values will sum to significantlylarge total power consumption figure. This power consumption, if notregulated, generally causes a high degree of localized heating in anintegrated circuit; often resulting in reliability issues, skewedcircuit performance and, in some cases, catastrophic device failure.

Regulation of this power consumption is possible since not all of thetaps are required to be active on any given channel at any given time.The taps that are not required to be active are the ones that do notsignificantly contribute to the performance of the system. However,which taps are not required to be active at a given time is not known apriori. Such unnecessary taps can become needed at a different time dueto dynamic changes in the cable response. The present inventiondynamically determines which, if any, taps are unnecessary for adequateperformance in a particular application, and deactivates them. Thepresent invention also re-activates any previously deactivated taps thatsubsequently become necessary, due to changes in the cable response, forsystem performance improvement. As applied to the adaptive filters, themethod of the present invention might be characterized as a tap powerregulation method.

FIG. 6 is a flowchart of a first exemplary embodiment of a method forimplementing principles of the present invention. A specified error anda specified power are provided. They may be specified by a user. Thespecified power represents the maximum power consumption that isallowed. If no power is specified, it is assumed to be infinite. Thespecified error represents the maximum degradation of the systemperformance that is allowed and is preferably expressed as a meansquared error (MSE). Since the signal power is constant, the MSEcorresponds to a ratio of mean squared error to signal(MSE/signal)usually expressed in decibels (dB).

In FIG. 6, before the start of process 500, no coefficient is active.Upon start (block 502), process 500 initializes a threshold to a value(block 504). This initial value of the threshold can result from asimulation test, or can be equal to the minimum absolute value of a tapcoefficient (as known from past experiments). This value is not criticalas long as it is sufficiently low to avoid a large degradation of thesystem performance. The taps in a first block are activated (block 506).The size of this first block, i.e., the number of taps in the firstblock, depends on the application. In one application, this number is120. The coefficients of the active taps are trained with the LMSalgorithm until convergence (block 508).

The absolute values of the active tap coefficients are compared with thethreshold (block 510). The taps whose absolute values are less than thethreshold are deactivated (block 512). An error metric, typically a meansquared error (MSE) corresponding to a ratio of mean squared error tosignal, and a power metric are computed (block 514). Process 500 thenchecks whether a first test is satisfied (block 516). In the firstembodiment of the invention, this first test is satisfied when the errormetric is greater than the specified error and the power metric issmaller than the specified maximum power. If the error metric is greaterthan the specified error, this implies that the threshold has been settoo high, causing too many taps to be deactivated, and this has degradedthe system performance by more than the specified amount. If the firsttest is satisfied, then the threshold is decreased (block 518), and allthe taps in the block being considered are activated again (block 506)and process 500 proceeds with a lower threshold. Otherwise, process 500determines whether all the taps of the filter have been considered(block 520). If not, then the next block of taps is considered, and thisnew block of taps is activated (block 506). A typical size of this nextblock of taps is 20. All of the active tap coefficients, including thenew activated tap coefficients, are converged with an LMS algorithm(block 508) and process 500 proceeds as described above.

If all of the taps have been considered, then process-500 checks whethera second test is satisfied (block 524). In the first embodiment of theinvention, the second test is satisfied when the error metric is smallerthan the specified error or the power metric is larger than thespecified power. If the error metric is smaller than the specifiederror, this implies that it is possible to increase the threshold todeactivate more taps and still meet the system performance requirement.If the power metric is greater than the specified power, then thethreshold must be increased to lower the power consumption, regardlessof the system performance requirement. If the second test is satisfied,then the threshold is increased (block 526) and the active taps arecompared with the updated threshold (block 510). Otherwise, process 500turns off the power on the taps that are subsequent to the tap which hasthe last highest ordered active coefficient (block 528). In other words,if Ck is the last highest ordered active coefficient, then all the tapsthat have the deactivated coefficients C_(k+1) through C_(N−1) arepowered down. More details on the power down function in block 528 areprovided below. Process 500 then terminates (block 530).

When process 500 is restarted (block 532), a block of taps is activated(block 506). Upon restart of process 500, the threshold is at its lastvalue from the last application of process 500. The coefficients thatwere previously deactivated are activated with their values remaining attheir last values before deactivation. Then process 500 proceeds asdescribed above.

Periodic restart of process 500 is desirable for the following reason.In some cases, the echo/NEXT path impulse response may change duringnormal operation. For example, this change may be a result oftemperature changes. To correct for this change, process 500periodically restarts to turn on the deactivated coefficients in asequential manner (block 506), re-converges the coefficients (block508), and determines whether the previously deactivated coefficients arestill below the threshold (block 510). If the previously deactivatedcoefficients are now converged to values above the threshold, theyremain active, otherwise they are deactivated (block 512). Any of theinitially active coefficients that now fall below the threshold are alsodeactivated (block 512).

The underlying reason for activating the taps a few at a time (block 506through 520) is the following. When the total number of taps is verylarge, the power consumption can be very large during the initialconvergence transient. This peak power consumption is very undesirable,and is unaffected by the tap power regulation process (which can onlyreduce the average power consumption of the filters). One solution tothis peak power consumption problem is to activate and converge the tapsin an initial small block of taps (blocks 506, 508), deactivate some ofthe converged taps according to a criterion (block 510 through block520), activate a next block of taps (block 506), converge all the activetaps including the newly activated taps (block 508), and repeat theprocess of deactivation, activation and convergence until all the tapsof the filter are processed.

Power-down block 528, which is optional, of process 500 helps furtherreduce the power consumption of the adaptive filters. Without block 528,although the tap power regulating process 500 already achieves a largereduction of the power consumption by reducing the number of activetaps, there is still a significant amount of power dissipated by thelong delay line of the adaptive filter. By delay line, it is meant theline connecting the delay elements together. Turning a tap off does notnecessarily affect the configuration of the delay line. However, in manypractical cases, many of the deactivated taps are located contiguouslyat the highest-ordered end of the filter. An example of such a case iswhen the cable is short and well behaved. In such cases, the portion ofthe delay line associated with these contiguously deactivated taps canbe completely powered down without affecting the transfer function ofthe filter. This powering down contributes an additional reduction ofpower dissipation of the filter. In one exemplary application, thisadditional reduction of power dissipation is approximately 300milliwatts (mW) per echo canceller and 70 mW per NEXT canceller,resulting in a power saving of 2.04 Watts for the gigabit transceiver.

An exemplary implementation of block 528 is as follows. An additionalbit, called the delay line enable bit, is associated with each tap of afilter. This bit is initially ON. When process 500 reaches block 528,all of the taps are scanned for active status starting from thehighest-ordered end of the filter, i.e., the tap including thecoefficient C_(N-1), towards the lowest-ordered end, i.e., the tapincluding the coefficient C₀. During scanning, the delay line enablebits of the scanned inactive taps are switched OFF until the firsthighest-ordered active tap is found. At this point, the scanning for tapactive status terminates. Then all the delay line sections correspondingto the taps whose delay line enable bits are OFF are powered down.

Activation block 506 of FIG. 6 is applied sequentially to the echocanceller 232 and the three NEXT cancellers 229, 230 and 231 (of FIG.3). FIG. 7 illustrates the flowchart of one exemplary embodiment of theactivation block 506.

Referring to FIG. 7, upon start (block 602), the process 506 sets thefilter number to zero (block 604) to operate on the echo canceller. Thefilter number zero represents the echo canceller, while filter numbers 1through 3 represent the three NEXT cancellers, respectively. Process 506then sets the address and the end equal to the start address and the endaddress of the block of taps, respectively (block 606). The modulesTapOn and Tap PowerUp are invoked with the address as argument (block608). The module TapOn turns on the circuitry of the tap having thespecified address. This circuitry includes a 1-bit storage to indicatethe active status of the tap. When the tap is turned on, the tap isincluded in the computation of the output y(n) of the filter (referringto Equation (1)), and in the adaptation process, i.e., the training andconvergence of the filter coefficients. The module TapPowerUp turns thepower on for the delay line section associated with the tap having thespecified address. Process 506 then determines whether the address isequal to the end. If it is not, then the address is increased by one(block 612), to consider the next tap of the filter. If the address hasreached the end address of the block of taps, then process 506determines whether filter number is equal to 3, i.e., whether all thefilters in the transceiver have been considered (block 614). If not,then filter number is increased by one, so that the next filter isconsidered. If process 506 has operated on all the filters, then process506 sets the start address equal to the old end address, and sets thenew end address equal to the sum of the old end address and the blocksize, the block size being the size of the next block of taps to beactivated (block 618). Process 506 then terminates (block 620).

Deactivation block 512 of FIG. 6 is applied sequentially to the echocanceller 232 and the three NEXT cancellers 229, 230 and 231 (of FIG.3). FIG. 8 illustrates the flowchart of one embodiment of thedeactivation block 512.

Referring to FIG. 8, upon start (block 702), the process 512 sets thefilter number to zero (block 704) to operate on the echo canceller. Thefilter number zero represents the echo canceller, while filter numbers 1through 3 represent the three NEXT cancellers, respectively. Process 512then sets the address equal to zero and the end equal to the length ofthe filter minus 1 (block 706). If the absolute value of the tapcoefficient at the specified address is less than T, the threshold, thenthe module TapOn is invoked to turn off the circuitry associated withthe tap having the specified address (block 708). When the tap is turnedoff, the tap is removed from the computation of the output y(n) of thefilter (referring to Equation (1)), and from the adaptation process,i.e., the training and convergence of the filter coefficients. Process512 then determines whether the address is equal to the end. If it isnot, then the tap address is increased by one (block 712), to considerthe next tap of the filter. If the address has reached the end of thefilter taps, then process 512 determines whether filter number is equalto 3, i.e., whether all the filters in the transceiver have beenconsidered (block 714). If not, then filter number is increased by one,so that the next filter is considered (block 716). If process 512 hasoperated on all the filters, then process 512 terminates (block 718).

Error-computing block 514 of FIG. 6 is applied sequentially to the echocanceller 232 and the three NEXT cancellers 229, 230 and 231 (of FIG.3). FIG. 9 illustrates the flowchart of one embodiment of theerror-computing block 514.

Referring to FIG. 9, upon start (block 802), the process 514 sets thefilter number to zero (block 804) to operate on the echo canceller, andinitializes the error metric MSE, the power metric and the flag. Thefilter number zero represents the echo canceller, while filter numbers 1through 3 represent the three NEXT cancellers, respectively. Process 514then sets the address equal to the length of the filter minus 1 (block806) to scan the filter taps from the highest ordered end. The reasonfor using this scanning order and the flag is to ensure that the tapsthat will be powered down in block 528 of FIG. 6 will be excluded fromthe computation of the power metric. A deactivated tap still consumes asmall amount of power if it is not actually powered down because of theassociated delay line section. To compute the new power metric such thatit can be used to accurately regulate the power consumption of thesystem, the process 514 must exclude from the computation the powerconsumption of a deactivated tap that will be powered down.

If Tapon[addr] is zero, i.e., if the tap at the specified address isturned off, then process 514 computes the new error metric MSE by addingto the previous value of MSE the squared value of the tap coefficient atthe specified address. Otherwise, if the tap at the specified address ison, then the flag is set to 1. If the flag is 1, then process 514computes the new power metric by adding to the previous value of thepower metric the estimated power consumption TapPower of the tap havingthe specified address (block 808). TapPower is chosen from precomputedvalues stored in a look-up table. These precomputed values are functionsof the size of the coefficients and of the active or inactive status ofthe coefficient.

Process 514 determines whether the address is 0 (block 810). If it isnot, then the tap address is decreased by one (block 812), to considerthe next tap of the filter. If the address has reached 0, then process514 determines whether filter number is equal to 3, i.e., whether allthe filters in the transceiver have been considered (block 814). If not,then filter number is increased by one, so that the next filter isconsidered and the flag is reset to 0 (block 816). If process 514 hasoperated on all the filters, then process 514 terminates (block 818).

As shown in FIG. 9, the error metric MSE is computed by summing thesquared values of the deactivated tap coefficients. It is noted that theerror metric can be computed differently, such as deriving it from theerror component 42A of the 4-D error signal 42 outputted from thetrellis decoder 38 (FIG. 3).

The MSE as measured from the error output 42 of the trellis decoder 38(FIG. 3) will be, hereinafter, referred to as the true MSE. The MSE asmeasured by summing the squared values of the coefficients of thedeactivated taps will be, hereinafter, referred as the proxy MSE.

There is an advantage in using the proxy MSE, instead of the true MSE,as the error metric. Since the proxy MSE is based solely on thecoefficient values of the deactivated taps, it represents only onecomponent of the noise signal of the gigabit transceiver (othercomponents may be due to quantization noise, external noise, etc.).Therefore, the proxy MSE is unaffected when large external noise, otherthan echo or NEXT noise, severely affects the noise signal, hence thenoise to signal ratio, of the gigabit transceiver. For this reason, theproxy MSE is preferred as the error metric.

If the true MSE is used as the error metric, then the specified error ispreferably set at a value corresponding to a noise to signal ratio ofabout −22 dB, because, although theoretically, a true MSE correspondingto a noise to signal ratio of −19 dB is acceptable for the gigabittransceiver, in practice, it is difficult to obtain adequate systemperformance at that level. If the proxy MSE is used as the error metric,then the specified error is preferably set at a value corresponding to anoise to signal ratio of about −24 dB.

Power-down block 528 of FIG. 6 is applied sequentially to the echocanceller 232 and the three NEXT cancellers 229, 230 and 231 (of FIG.3). FIG. 10 illustrates the flowchart of one embodiment of thepower-down block 528.

Referring to FIG. 10, upon start (block 902), the process 528 sets thefilter number to zero (block 904) to operate on the echo cancellerfirst. The filter number zero represents the echo canceller, whilefilter numbers 1 through 3 represent the three NEXT cancellers,respectively. Process 528 then sets the address equal to the length ofthe filter minus 1 and the end equal to zero (block 906). This meansthat the process 528 starts from the highest ordered end of the filtertowards the lowest ordered end.

Process 528 determines whether TapOn[addr] is 1, i.e., whether the tapat the specified address is active (block 908). If the tap is notactive, then process 528 turns off the power to the tap (block 910),then checks whether the address is equal to the end (block 912). If theaddress is not equal to the end, the address is decreased by 1 toconsider the next lower ordered tap (block 914). If the address hasreached the end, then process 528 determines whether the filter numberis 3, i.e., whether all the 4 filters have been considered (block 916).If the filter is not the last one, then filter number is increased by 1so that the next filter is considered (block 918). Otherwise, process528 terminates (block 920).

If TapOn[addr] is 1 (block 908), i.e., if the tap at the specifiedaddress is active, then process 528 stops scanning the taps in thefilter being considered, and checks the next filter, if any (block 916).Process 528 then proceeds as described above.

The process 500 of FIG. 6 is applied to the echo and NEXT cancellers ofeach of the 4 constituent transceivers of the gigabit transceiver 102depicted in FIGS. 1 and 2. It is important to note that, if process 500is applied simultaneously to the 4 constituent transceivers, there willbe a power demand surge in the gigabit transceiver 102. In order toavoid such a power demand surge, process 500 is applied to the 4transceivers in a time-staggered manner.

In a second embodiment of the present invention, two different specifiederrors are used in order to avoid possible limit cycle oscillationsbetween activation and deactivation. The flowchart of the secondembodiment is substantially similar to the one shown in FIG. 6. Thesecond embodiment differs from the first embodiment by using a firstspecified error for the first test in block 516 (FIG. 6) and a secondspecified error for the second test in block 524. The first specifiederror is substantially larger than the second specified error. The useof the two different specified errors, sufficiently distant from eachother, allow the process 500 to terminate when the computed error metrichas a value located between the two specified errors. When just onespecified error is used, as in the first embodiment, the computed errormetric may jump back and forth around the specified error, causing theprocess 500 to oscillate between activation and deactivation.

In a third embodiment of the present invention, the first few taps ofeach filter, e.g., the first 10 taps, are exempt from deactivation inorder to avoid possible degradations of the system performance in thepresence of jitter. The effect of jitter on these few taps is asfollows. There is usually a large slew rate in these first few taps. Dueto this slew rate, their numerical values could change significantly ifthe sampling phase of the received signal changes. In the presence ofjitter, the sampling phase of the received signal can changedynamically. Thus, if some of the first few taps were insignificant forthe system performance, they could become significant as the samplingphase changes. For this third embodiment, the flowchart of thedeactivation process of block 512 is slightly different from the oneshown in FIG. 6. The only modification to the flowchart of FIG. 6 is toequate, in block 606, the address to K instead of 0, where K+1 is thenumber of the first few taps exempt from deactivation.

A fourth embodiment of the present invention uses, as the error metric,the change in the true MSE instead of the true MSE. In other words, thevalue of {new (true MSE)—old (true MSE)} is computed and used as theerror metric. In the fourth embodiment, the first test in block 516 issatisfied if the change in the true MSE is greater than a specifiedchange value (e.g., a value that corresponds to a noise to signal ratio(NSR) change of 1 dB) and the power metric is smaller than the specifiedmaximum power. The second test in block 524 is satisfied if the changein the true MSE is smaller than the specified change value or the powermetric is greater than the specified maximum power. For example, if thetrue MSE is at a value corresponding to a NSR of −25 dB before the tappower regulating process is applied, and if the specified change valuecorresponds to a NSR change of 1 dB, then the final true MSE will be ata value corresponding a NSR of about −24 dB. This fourth embodiment canbe used when there is large external noise that is other than echo orNEXT noise. In such a case, the true MSE is large even before the tappower regulation process is applied. Thus, if the true MSE is used asthe error metric, practically no taps will be deactivated, resulting inlarge power dissipation. In this situation, since the large noise is notcaused by the uncancelled echo and NEXT impairments, a large number oftaps could be deactivated without causing significant additionaldegradation to the system performance. The fourth embodiment allow thesetaps to be deactivated in this situation.

In a fifth embodiment, all of the taps in a filter are initiallyactivated and converged, instead of being activated in blocks andconverged in stages as in the first embodiment. The flowchart of thefifth embodiment is similar to the one of the first embodiment shown inFIG. 6, except for the following two differences. The first differenceis that, in the activation block 506, the block of taps is set toinclude all of the taps in the filter. The second difference is that theblock 520 is not needed.

In each of the embodiments, there are several ways of computing theerror metric. The error metric can be computed as a measurement ofsystem performance degradation caused by the filter being considered, orby the four filters in the constituent transceiver being considered, orby all the 16 filters in the four constituent transceivers of thegigabit transceiver.

When computed as a measurement of degradation caused by all 4 filters ofthe constituent transceiver being examined, the error metric provides agood indication of the bit error rate of that constituent transceiver.

In the case where the error metric is computed as a measurement ofdegradation caused by all the 16 filters in the 4 constituenttransceivers of the gigabit transceiver, the power regulation processcan allow the filters in one of the 4 transceivers to have larger errorand compensate for this error in the filters of the other 3transceivers. For example, if the echo/NEXT impairments in oneparticular transceiver are very severe and too many active taps would beneeded to cancel them, then the power regulation process can allow theimpairments to stay severe in this transceiver, and allocate the powerresource to the other 3 transceivers instead. It is noted that, in thiscase, the trellis decoder 38 still decodes correctly since it usessignal samples from all the four transceivers in its decoding scheme.

When applied to the echo and NEXT cancellers of the gigabit transceiver,for typical channels, the power regulation process of the presentinvention results in a large number of taps being deactivated and thepower consumption being reduced by a large factor. Simulation testsconfirm this result.

FIG. 11 illustrates an exemplary impulse response of the echocharacteristic developed by a typical multi-pair transmission channel inresponse to a known impulse. FIG. 12 illustrates an exemplary impulseresponse of the near end crosstalk (NEXT) characteristics developed by atypical transmission channel in response to a similar known impulse.

FIGS. 13A and 13B illustrate the results of simulation programmingperformed to evaluate the application of tap power regulationmethodologies to a local constituent transceiver and a remoteconstituent transceiver connected together through a transmissionchannel having the echo impulse response of FIG. 11.

During the initial period of communication, through a process known asAuto-Negotiation, the two transceivers negotiate then agree on theirrespective status as Master and Slave. FIGS. 13A and 13B show the MSE tosignal ratio expressed in dB as a function of time, with time expressedin bauds, for the Master and Slave transceivers, respectively. Eachpoint on the graphs in FIGS. 13A and 13B is obtained by averaging theinstantaneous measurements taken over 10,000 symbol periods. The errormetric MSE is computed based on the error signal 42A (in FIG. 3), i.e.,the error as seen by the trellis decoder 38 (FIG. 3).

Referring to FIGS. 13A and 13B, during the time interval from 0 baud toabout 1.2×10⁵ bauds, the Master trains its own echo canceller whiletransmitting with an independent, fixed clock. During this timeinterval, the Slave synchronizes to the signal transmitted by theMaster, and trains its feed-forward equalizer and its timing recoveryblock. During the time interval from about 1.2×10⁵ bauds to about2.2×10⁵ bauds, the Slave trains its echo canceller while transmitting.During this time interval, the Master is not transmitting, onlyreceiving from the Slave, and trains its feed-forward equalizer and itstiming recovery block to account for the delay in the channel. By theend of this time interval, the Master and Slave are synchronized witheach other.

During the time interval from about 2.2×10⁵ bauds to about 3.2×10⁵bauds, both the Master and Slave transmit and receive. During this timeinterval, the Master retrains its echo canceller and readjust timing.From about 3.2×10⁵ bauds, there is convergence of both Master and Slaveecho cancellers. At about 3.6×10⁵ bauds, the tap power regulatingprocess of the present invention is applied to both echo cancellers,with the specified error, i.e., the maximum acceptable systemperformance degradation, set at a value corresponding to a NSR of −24dB. As shown in FIGS. 13A and 13B, for both local and remotetransceivers, the MSE increases to and stays at this specified errorcorresponding to a NSR of −24 dB. In this example, in each constituenttransceiver, the echo canceller has initially 140 taps, and each of thethree NEXT cancellers has initially 100 taps. The total number ofinitial taps in each constituent transceiver is 440.

FIGS. 14A and 14B are graphs of the values of the tap coefficients ofthe echo canceller as a function of the tap number, after application ofthe tap power regulation process with the specified error set at valuescorresponding to noise to signal ratio of −24 dB and −26 dB,respectively. The deactivated coefficients are shown as having valuezero.

Referring to FIG. 14A, the number of taps remaining active, afterapplication of the tap power regulation process with the specified errorcorresponding to a NSR of −24 dB, is 22. For this specified error, theremaining active taps for the three NEXT cancellers is 6, 2, and 0,respectively (not illustrated). Thus, out of a total of 440 initiallyactive taps in the constituent transceiver, only 30 remain active afterapplication of the process of the present invention, while a 5 dB marginis maintained for the required bit error rate.

Referring to FIG. 14B, after application of the tap power regulationprocess with the specified error corresponding to a NSR of −26 dB, thenumber of taps remaining active is 47. For this specified error, theremaining active taps for the three NEXT cancellers (not illustrated) is6, 2, and 0, respectively. Thus, out of a total of 440 initially activetaps in the constituent transceiver, only 55 remain active afterapplication of the process of the present invention, while a 7 dB marginis maintained for the required bit error rate.

FIGS. 14A and 14B show that the surviving taps occur at sparselocations. This is due to the strong dependence of the echo/NEXTcancellers on the specific cable response. Since the responsecharacteristics of any given cable making up the transmission channelare not a priori determinable, it would be impossible, in practice, topredict and statically allocate the surviving taps during the design ofthe echo and NEXT cancellers. Therefore, some sort of dynamic active tapidentification and allocation process according to the invention offerssignificant power reduction benefits over conventional methodologies.

While the systems and methods of the invention have been describedmainly in terms of their applicability to adaptively configuring activetap sets for high order digital filters, the dynamic power regulationmethodology of the present invention can also be applied to completecomputation modules of a transceiver, in cases where the computationalpower of such modules is not needed for a particular application. Inthese cases, a similar methodology applies, i.e., evaluate a signalperformance metric of a signal output from a computational moduleagainst a performance threshold and, where the performance metric isgreater than the threshold, power down the computational module.

This additional embodiment of the invention is particularly advantageousin cases where the transmission channel might be implemented with short(<3 meters) cable lengths, resulting in the relative absence oftransmission channel induced intersymbol interference (ISI). Returningmomentarily to the description of the trellis decoder circuitaccompanying FIG. 4, in the absence of intersymbol interference, symbolsreceived from the deskew memory 37 need only be decoded by the Viterbidecoder 304, and its associated modules, i.e., the path metrics module306, and the path memory module 308, without resorting to adecision-feedback sequence estimation approach, as discussed previously.In this case, the dynamic power regulation process reduces the powerconsumption of the gigabit transceiver by deactivating and bypassing thecomputational modules represented by the MDFE 302, the DFE 312 and theselect logic 310. Since received symbols are relatively uneffected bychannel induced ISI, there is no need to develop ISI compensation forincomming signal samples prior to symbol decode, and therefore no needfor ISI compensation circuitry.

FIG. 15 is a simplified, semi-schematic block diagram of an exemplarytrellis decoder 38 as it might be implemented in the case where it hasbeen determined that there is substantially no channel inducedintersymbol interference. Referring to FIG. 15, the 4-D output signal 37from the deskew memory 36 is provided directly to the Viterbi decoder304, as the Viterbi input. In accordance with the invention, it shouldbe noted that, in the absence of intersymbol interference, only a single4-D Viterbi input is needed in contrast to the eight state inputsrequired in the full ISI compensation case.

As illustrated in FIG. 15, the DFE, MDFE and decoder circuitry has beenreplaced by a series of simple delay stages and an adder circuit, withthe deskew output signal (a signal sample) directly input to the Viterbidecoder 304. The deskew output signal sample is also directed through aset of three series coupled sequential delay stages 320, 322 and 324 andthen to an adder circuit 326. Signal samples are added to the negativeof the first tentative decision VOF output by the path memory module 308in the adder circuit 326 in order to develop an error term. The errorterm is directed through an additional delay stage 328 after which theerror term 42 might be directed to an adaptive gain stage (34 of FIG. 3)and timing recovery circuit (222 of FIG. 3). In the exemplary embodimentshown in FIG. 15, the 4-D error 42 is computed as the delayed differencebetween the delayed 4-D input 37 and the 4-D output VOF of the pathmemory module 308. The corresponding 4-D tentative decision 44 may berepresented as nothing more than a delayed version of the 4-D output VOFof the path memory module 308; the delay occuring in an additional delaystage 330. In the embodiment shown in FIG. 15, the error and tentativedecision delay elements 328 and 330, respectively, are used to ensurethat the error 42 and the tentative decision 44 arrive at the timingrecovery block (222 of FIG. 3) at the same time. Depending on the designand implementation of the timing recovery block, these delay elementsmay not necessarily be needed in alternative embodiments.

FIG. 16 illustrates yet a further embodiment of the invention which isparticularly advantageous in situations where the signal-to-noise ratiois very high (as may happen with a short cable, e.g., of less than 50meters). In such situations, the coding gain provided by the trelliscode may not be needed, and adequate system performance, as indicated bythe bit error rate, may be achieved without making use of this codinggain. In these situations, substantial power dissipation reductions canbe achieved by disabling the trellis decode enabling features of thecomplex Viterbi decoder, including the Viterbi decoder block 304, itsassociated path metric and path memory modules 306 and 308, and a largeportion of the ISI compensation circuitry including the MDFE 302 and theselect logic 310. These portions are replaced, or substituted, with asimple symbol-by-symbol decoder and a simple decision feedback equalizerto detect the received signal, instead of using the computationallycomplex Viterbi decoder.

Referring to FIG. 16, signal samples output by the deskew memory aredirected through an adder circuit 332, which determines the differencebetween the input signal samples and the 4-D output of a DFE 334. Asymbol-by-symbol decoder 336 receives the difference between the 4-Dsignal samples and the 4-D output from the DFE 334 and decodes it. A 4-Dtentative decision 44 is taken directly from the output of thesymbol-by-symbol decoder 336, and an error term 42 is developed by anadditional adder circuit 338, coupled to define the difference betweenthe input and the output of the symbol-by-symbol decoder 336. A softdecision 43, which is used for display purposes only, is taken directlyfrom the input of the symbol-by-symbol decoder 336.

Final decisions are developed by delaying the output of thesymbol-by-symbol decoder through three series coupled sequential delaystages 340, 342 and 344. The output of each respective delay stage isdirected to the DFE as a corresponding tentative decision V_(0F), V_(1F)and V_(2F).

In each of the cases described in connection with FIGS. 15 and 16, itwill be understood that the surviving elements of the decoder sectionare all present in a fully functional Viterbi decoder system with ISIcompensation. Such a system is described in co-pending U.S. patentapplication entitled System and Method for High-Speed Decoding and ISICompensation in a Multi-Pair Transceiver System, filed on Aug. 9, 1999and commonly owned by the assignee of the present invention, now Pat.No. 6,249,544, the entire contents of which are expressly incorporatedby reference. As decisions are made with regard to the desirability ofmaintaining the circuitry in a fully operational condition or truncatingcertain computational sections in an effort to reduce power dissipation,the system need only remove power from certain identified portions ofthe circuitry, with other identified portions allowed to remainpowered-up in the active signal path. No additional component circuitelements need be provided.

The dynamic power regulation methodology of the present invention canalso be applied to any other component module of a communication system,so long as that module is able to provide a given minimal level ofperformance with a truncated functional representation or with truncatedcircuitry. Of course, such minimal performance levels will obtain inonly certain situations and are dependent on external factors,particularly the transmission channel characteristics. However, thesesituations frequently appear in a substantial number of applications orinstallations. An integrated circuit transceiver capable of adaptivelyconfiguring itself to provide a “just sufficient” level of performancewhile operating at the lowest obtainable power dissipation levels wouldlend itself to almost universal application.

While certain exemplary embodiments have been described in detail andshown in the accompanying drawings, it is to be understood that suchembodiments are merely illustrative of and not restrictive on the broadinvention. It will thus be recognized that various modifications may bemade to the illustrated and other embodiments of the invention describedabove, without departing from the broad inventive scope thereof. It willbe understood, therefore, that the invention is not limited to theparticular embodiments or arrangements disclosed, but is rather intendedto cover any changes, adaptations or modifications which are within thescope and spirit of the invention as defined by the appended claims.

What is claimed is:
 1. A method for reducing power consumption of anintegrated circuit digital filter, the filter having an initial set ofactive coefficients, an input and an output, the active coefficientsbeing ordered, a lowest ordered active coefficient being proximal to theinput, each of the active coefficients having a stable value, the methodcomprising the operations of: (a) determining a threshold value; (b)comparing an active coefficient with the threshold value; (c)deactivating the active coefficient if a criterion is satisfied; (d)repeating the operations of comparing and deactivating for other activecoefficients of the initial set; (e) providing a specified error; (f)computing an error metric; (g) updating the threshold value if a firstcriterion is satisfied; and (h) repeating operations (b), (c) and (d) ifthe threshold value is updated.
 2. The method of claim 1 whereinoperation (g) comprises the operation of increasing the threshold valueif the error metric is smaller than the specified error.
 3. The methodof claim 1 wherein operation (g) comprises the operation of decreasingthe threshold value if the error metric is larger than the specifiederror.
 4. A method for reducing power consumption of an integratedcircuit digital filter, the filter having an initial set of activecoefficients, an input and an output, the active coefficients beingordered, a lowest ordered active coefficient being proximal to theinput, each of the active coefficients having a stable value, the methodcomprising the operations of: (a) determining a threshold value; (b)comparing an active coefficient with the threshold value; (c)deactivating the active coefficient if a criterion is satisfied; (d)repeating the operations of comparing and deactivating for other activecoefficients of the initial set; (e) providing a specified error and aspecified power; (f) computing an error metric and a power metric; (g)updating the threshold value if a first criterion is satisfied; and (h)repeating operations (b), (c) and (d) if the threshold value is updated.5. The method of claim 4 wherein operation (g) comprises the operationof increasing the threshold value if the error metric is smaller thanthe specified error or the power metric is larger than the specifiedpower.
 6. The method of claim 4 wherein operation (g) comprises theoperation of decreasing the threshold value if the error metric islarger than the specified error and the power metric is smaller than thespecified power.
 7. A method for reducing power consumption of anintegrated circuit digital filter, the filter having an initial set ofactive coefficients, an input and an output, the active coefficientsbeing ordered, a lowest ordered active coefficient being proximal to theinput, each of the active coefficients having a stable value, the methodcomprising the operations of: (a) determining a threshold value; (b)comparing an active coefficient with the threshold value; (c)deactivating the active coefficient if a criterion is satisfied; and (d)wherein the criterion in operation (c) is satisfied if the activecoefficient has a stable value smaller than the threshold value.
 8. Amethod for reducing power consumption of an integrated circuit digitalfilter, the filter having an initial set of active coefficients, aninput and an output, the active coefficients being ordered, a lowestordered active coefficient being proximal to the input, each of theactive coefficients having a stable value, the method comprising theoperations of: (a) determining a threshold value; (b) comparing anactive coefficient with the threshold value; (c) deactivating the activecoefficient if a criterion is satisfied; and (d) wherein operation (a)comprises the operation of equating the threshold value to a minimum ofthe stable values of the active coefficients.
 9. A method for reducingpower consumption of an integrated circuit digital filter, the filterhaving an initial set of active coefficients, an input and an output,the active coefficients being ordered, a lowest ordered activecoefficient being proximal to the input, each of the active coefficientshaving a stable value, the method comprising the operations of: (a)determining a threshold value; (b) comparing an active coefficient withthe threshold value; (c) deactivating the active coefficient if acriterion is satisfied; and (d) wherein operation (a) comprises theoperation of equating the threshold value to a simulation test result.10. The method of claim 1 wherein the error metric is a mean squarederror.
 11. The method of claim 1 wherein operation (f) comprises theoperations of: squaring the stable values of deactivated coefficients;summing the squared stable values to produce a sum; and equating theerror metric to the sum of the squared stable values.
 12. The method ofclaim 1 wherein the specified error corresponds to a mean squared errorto signal ratio of approximately −24 dB.
 13. A method for reducing powerconsumption of an integrated circuit digital filter, the filter havingan initial set of active coefficients, an input and an output, theactive coefficients being ordered, a lowest ordered active coefficientbeing proximal to the input, each of the active coefficients having astable value, the method comprising the operations of: (a) determining athreshold value; (b) comparing an active coefficient with the thresholdvalue; (c) deactivating the active coefficient if a criterion issatisfied; and (d) repeating operations (b) and (c) for the remainingactive coefficients of the initial set in a sequential order accordingto the order of the active coefficients.
 14. A method for reducing powerconsumption of an integrated circuit digital filter, the filter havingan initial set of active coefficients, an input and an output, theactive coefficients being ordered, a lowest ordered active coefficientbeing proximal to the input, each of the active coefficients having astable value, the method comprising the operations of: (a) determining athreshold value; (b) comparing an active coefficient with the thresholdvalue; (c) deactivating the active coefficient if a criterion issatisfied; (d) training the active coefficients of the initial set suchthat the active coefficients converge to the stable values; and (e)wherein the operation of training the active coefficients of the initialset comprises the operations of: (1) training N1 consecutive orderedactive coefficients including the lowest ordered active coefficient suchthat the N1 active coefficients converge to first values; (2) trainingN2 consecutive active coefficients, including the N1 activecoefficients, such that the N2 active coefficients converge to secondvalues, N2 being a number greater than N1; and (3) repeating operation(2) with N2 substituted by N3, N3 being a number greater than N2, untilthe active coefficients of the initial set converge to the stablevalues.
 15. The method of claim 1 wherein the filter is afinite-impulse-response filter, the filter including a set of delay linesections, the delay line sections corresponding one-to-one with theactive coefficients of the initial set, except for the lowest orderedcoefficient of the initial set.
 16. The method of claim 15 furthercomprising the operation of: deactivating delay line sectionscorresponding to deactivated coefficients that have higher orders than ahighest ordered non-deactivated coefficient.
 17. A method for reducingpower consumption of a filter, the filter having an initial set ofactive coefficients and an input, the active coefficients being ordered,a lowest ordered active coefficient being proximal to the input, themethod comprising the operations of: (a) determining a threshold; (b)providing a specified error; (c) initializing the active coefficients byassigning an initial value to each of the active coefficients; (d)training N1 consecutive active coefficients including the lowest orderedactive coefficient such that the N1 active coefficients converge tofirst values; (e) reducing the N1 active coefficients to M1 activecoefficients based on the threshold, M1 being a number smaller or equalto N1; (f) training N2 consecutive active coefficients including the M1active coefficients such that the N2 active coefficients converge tosecond values, N2 being a number greater than M1; and (g) repeatingoperations (e) and (f) with Ni substituted by N2, M1 substituted by M2,M2 being a number smaller or equal to N2, and N2 substituted by N3, N3being a number greater than M2, until the set of active coefficients isreduced to a subset of active coefficients having stable values.
 18. Themethod of claim 17 wherein operation (e) comprises the operations of:comparing an active coefficient with the threshold; and deactivating theactive coefficient if a criterion is satisfied for the activecoefficient.
 19. The method of claim 18 wherein the criterion issatisfied if the active coefficient has a value smaller than thethreshold.